A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing
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DOI: 10.1109/tkde.2019.2931903
Abstract: The need to efficiently store and query large scale graph datasets is evident in the growing number of data-intensive applications, particularly to maximize the mining of intelligence from these data (e.g., to inform decision making).… read more here.
Keywords: privacy preserving; large scale; graph; scale graph ... See more keywords